Graph and download economic data for Net County-to-County Migration Flow (5-year estimate) for York County, ME (DISCONTINUED) (NETMIGNACS023031) from 2009 to 2020 about York County, ME; Portland; ME; migration; flow; Net; 5-year; and population.

These seven datasets identify non-tidal lands within existing tidal estuaries that could be inundated and facilitate the development of new areas of tidal marsh if sea level rises by 0, 1.2, 1.6, 3.9, 6.1, 8.8, or 10.9 feet above current highest astronomical tide (HAT). The primary purpose of these data is to enable appropriate land use planning for lands that may become future tidal marshes, and to inform other investigations as to the impacts of and strategic conservation, restoration, and management planning for predicted sea level rise on critical coastal habitats.

This dataset is used for status assessment, tidal habitat conservation, restoration, and planning for coastal Maine. This data represents low-lying areas of the non-tidal landscape adjacent to current tidal wetlands that could become marsh migration space as sea levels rise. Each marsh migration scenario represents the extent to which highest astronomical tide intersects undeveloped lands if sea level is increased by 3.9 feet. Predictions for the amount of sea level rise in the next 50-100 years vary, but the fact that sea level is rising is well documented (https://www.maine.gov/dacf/mgs/hazards/slr_ticker/index.html). Tidal marshes are ecologically and economically significant natural systems. Planning for their continued functional existence given various sea level rise scenarios is important for sustaining biodiversity and maintaining ecosystem services. Identifying these areas creates the opportunity for government agencies, municipalities, private conservation organizations, and land managers to plan for compatible uses of the lands and avoid impacts to future tidal marsh or buffers to that marsh space. These data can be paired with similarly created data that provides for scenarios with 0, 1.2, 1.6, 3.9, 6.1, 8.8, and 10.9 foot increases in sea level. Together, these datasets provide frames of reference for incremental increases of predicted sea level rise, to better serve planning purposes at different time frames.

Graph and download economic data for Net County-to-County Migration Flow (5-year estimate) for Knox County, ME (DISCONTINUED) (NETMIGNACS023013) from 2009 to 2020 about Knox County, ME; ME; migration; flow; Net; 5-year; and population.

Graph and download economic data for Net County-to-County Migration Flow (5-year estimate) for Kennebec County, ME (DISCONTINUED) (NETMIGNACS023011) from 2009 to 2020 about Kennebec County, ME; ME; migration; flow; Net; 5-year; and population.

Graph and download economic data for Net County-to-County Migration Flow (5-year estimate) for Hancock County, ME (DISCONTINUED) (NETMIGNACS023009) from 2009 to 2020 about Hancock County, ME; ME; migration; flow; Net; 5-year; and population.

About this dataset

Context

The dataset tabulates the Maine town population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Maine town. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was 18 to 64 years with a poulation of 437 (55.18% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the Maine town population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Maine town is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Maine town is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Maine town Population by Age. You can refer the same here

Graph and download economic data for Net County-to-County Migration Flow (5-year estimate) for Lincoln County, ME (DISCONTINUED) (NETMIGNACS023015) from 2009 to 2020 about Lincoln County, ME; ME; migration; flow; Net; 5-year; and population.

Original provider: USFWS, Linda Welch

Dataset credits: Data provider Greater Shearwaters in the Gulf of Maine Originating data center Satellite Tracking and Analysis Tool (STAT)

Abstract: The Gulf of Maine supports a tremendous diversity of pelagic seabirds, which depend on our highly productive waters to raise their young and complete their annual lifecycle. For species such as Atlantic puffin and razorbills, the Gulf of Maine represents the southern limit of their breeding distribution in the United States. As with any species at the fringe of their distribution, these birds are likely to be highly sensitive to changes in habitat and prey availability resulting from global climate change. Greater shearwaters breed in the southern hemisphere and migrate to the Gulf of Maine during the summer months to forage on the abundant supply of prey species. Managers are concerned that increasing sea surface temperatures, changes in commercial harvest rates of key forage species, and potential offshore energy development could now threaten the ability of this region to support pelagic seabirds.
Maine’s Comprehensive Wildlife Conservation Strategy identifies greater shearwater as a priority species for research, and specifically notes the need to conduct shearwater surveys and identify foraging habitat. We believe this research will promote the conservation of this priority species during offshore energy development and increase our understanding of the potential implications of climate change on pelagic seabirds.

Objectives:
1) Determine foraging “hotspots” where pelagic seabirds aggregate in the Gulf of Maine
2) Determine migration pathways, habitat use, and residency times for greater shearwaters in the Gulf of Maine
3) Document characteristics of marine habitat occupied by pelagic seabirds, and predict how environmental change (i.e. climate change or offshore development) may influence the availability of these habitats
4) Contribute to ongoing research monitoring the migration of greater shearwaters throughout the Atlantic Ocean, and their return to their breeding grounds in the southern hemisphere.

This study will combine direct observations of pelagic seabirds and associated ocean parameters (i.e. sea surface temperatures, depth, and primary productivity) with data generated by the satellite transmitters. This will allow us to determine which habitat characteristics pelagic seabirds are selecting, and the satellite data will provide landscape level use of the Gulf of Maine by pelagic seabirds.

This information will play a critical role in the evaluation of offshore energy development for both conservation agencies and potential developers. While the conservation community is clearly supportive of green energy, we believe it is imperative that wildlife conservation must be considered during the planning and development of these projects. This research will help us guide the energy development into regions of the coast that are less likely to support large concentrations of pelagic seabirds.

The shearwaters in this study were named for islands protected by Maine Coastal Islands National Wildlife Refuge. For more information please contact: Linda_Welch@fws.gov

Supplemental information: Visit STAT's project page for additional information.

This dataset is a summarized representation of the telemetry locations aggregated per species per 1-degree cell.

Graph and download economic data for Net County-to-County Migration Flow (5-year estimate) for Cumberland County, ME (DISCONTINUED) (NETMIGNACS023005) from 2009 to 2020 about Cumberland County, ME; Portland; ME; migration; flow; Net; 5-year; and population.

About this dataset

Context

The dataset tabulates the China town population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of China town. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was 18 to 64 years with a poulation of 2,829 (63.22% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the China town population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in China town is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the China town is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for China town Population by Age. You can refer the same here

These data represent low lying areas of the non-tidal landscape that are adjacent to tidal estuaries that could be inundated at highest annual tide if sea level is increased by 1 foot. These are areas where existing tidal marshes could migrate or expand given a 1 foot increase in sea level. This data covers the entire Maine coastline.

About this dataset

Context

The dataset tabulates the Freeport town population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Freeport town. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was 18 to 64 years with a poulation of 4,794 (54.88% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the Freeport town population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Freeport town is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Freeport town is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Freeport town Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the Maine population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Maine. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was 18 to 64 years with a poulation of 824,357 (59.85% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the Maine population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Maine is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Maine is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Maine Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the Etna town population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Etna town. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was 18 to 64 years with a poulation of 777 (62.41% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the Etna town population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Etna town is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Etna town is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Etna town Population by Age. You can refer the same here

Graph and download economic data for Net County-to-County Migration Flow (5-year estimate) for Somerset County, ME (DISCONTINUED) (NETMIGNACS023025) from 2009 to 2020 about Somerset County, ME; ME; migration; flow; Net; 5-year; and population.

Graph and download economic data for Net County-to-County Migration Flow (5-year estimate) for Androscoggin County, ME (DISCONTINUED) (NETMIGNACS023001) from 2009 to 2020 about Androscoggin County, ME; Lewiston; ME; migration; flow; Net; 5-year; and population.

Graph and download economic data for Net County-to-County Migration Flow (5-year estimate) for Franklin County, ME (DISCONTINUED) (NETMIGNACS023007) from 2009 to 2020 about Franklin County, ME; ME; migration; flow; Net; 5-year; and population.

Graph and download economic data for Net County-to-County Migration Flow (5-year estimate) for Washington County, ME (DISCONTINUED) (NETMIGNACS023029) from 2009 to 2020 about Washington County, ME; ME; migration; flow; Net; 5-year; and population.

This dataset is used for status assessment, habitat conservation, and planning for coastal areas of Maine. This subset of data published by the Department of Agriculture, Conservation and Forestry represents low lying areas of the non-tidal landscape that are adjacent to tidal estuaries that could be inundated at highest annual tide if sea level is increased by 1 foot. Tidal marshes are ecologically and economically significant natural systems. Planning for their continued functional existence given various sea level rise scenarios is beneficial to both society and wildlife. Predictions for the amount of sea level rise in the next 50 to 100 years vary, but the fact that sea level is rising has been documented. This dataset is intended to be used to identify areas of the landscape where existing tidal marshes could migrate or expand to given a 1 foot increase in sea level. Identifying these areas creates the opportunity for government agencies, towns, private conservation organizations, and land managers to plan for compatible uses of the lands before they become inundated. This data can be paired with similarly created data that provides for scenarios with 2, 3.3, and 6 foot increases in sea level. Together, these datasets provide frames of reference for incremental increases of predicted sea level rise, to better serve planning purposes at different time frames.